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Security Scan Report: inspirasiinsightinsight-dp7avivk8s72.edgeone.app

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Submitted: Jun 25, 2026, 7:09:12 AMCompleted: Jun 25, 2026, 7:10:22 AMpubliccompleted
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Summary

This website contacted 5 IPs in 3 countries across 5 domains to perform 2 HTTP transactions. The main domain is inspirasiinsightinsight-dp7avivk8s72.edgeone.app and was registered NaN years ago.

Submitted URL: https://inspirasiinsightinsight-dp7avivk8s72.edgeone.app/andrew-shue-twitter-feed.html

AI Security Verdict

Low Risk

Confidence: 88%

2
Risk Score

Informational article with no malicious indicators; low risk.

Risk Factors
Domain age unknown
Domain unranked in Cisco Umbrella
Subdomain on edgeone.app hosting platform
Safety Factors
No forms collecting credentials or payments
No brand impersonation detected
No malicious JavaScript or exfiltration behavior
No IDS or Safe Browsing alerts
Domain age information unavailable

Details

Page Title

How Andrew Shue’s Twitter Feed Shapes Modern Storytelling

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(94%)

Domain Information

Domain 'inspirasiinsightinsight-dp7avivk8s72.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'inspirasiinsightinsight-dp7avivk8s72'. Its registrable label 'edgeone' stretches across 7 characters holding four vowels versus 3 consonants. Segmentation suggests two words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://inspirasiinsightinsight-dp7avivk8s72.edgeone.app/andrew-shue-twitter-feed.html

Page Load Overview

1.69s
Total Load Time
14
HTTP Requests
10
Domains
26 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en-US
Text Length:5,996 chars
Detector Agreement:80%

Website Classification

Primary Category

social media network94% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
94%
entertainment media
92%
government public service
74%
news media journalism
56%
education learning
44%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
643.152.26.58Singapore
AS139341ACE
2142.251.110.95United States
AS15169Google LLC
2172.67.150.240United States
AS13335Cloudflare, Inc.
2145.97.35.5Zoetermeer, South Holland, Netherlands
AS1145SURF B.V.
2172.240.108.84United States
AS7979Servers.com, Inc.
145--

Detected Technologies2

Open-Graph-Protocolvarticle
100%
Statcounter
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T167921B57EE8451286B31000261D5F3FCA96CC41BD75298F238AEE32C9BCA7DB993675C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:hPWRhnYf8zX+gqw8rGYmm826fqCTUG1DkoNjag4n+RM:ZWRhnz+gqlGYmm8jfqCTD1DBNjag4++

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:19644:hCogECMUZTOAALGPCQDhQjAlMxBMGVBGVSA6BAEAQWiFKgJokiBDIjAAARBAEiwkSOwBAPC2IWgVQCBCLOIkAAFgDxKEAoGQ

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Perceptual Hashes

Average Hash:ffffffe7c3c3c7ff
Perceptual Hash:b4cf9b60649e3165
Difference Hash:32041807869e2e1f
Wavelet Hash:98feffc381818383
Color Hash:#291f93

Other Hashes

Crop Resistant:32041807869e2e1f,c594925924e6ed4d

Scan History

Scan history not available

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